Orthogonal Machine Learning: Power and Limitations

1 November 2017

Papers citing "Orthogonal Machine Learning: Power and Limitations"

12 / 12 papers shown

Title
Learning Decision Policies with Instrumental Variables through Double Machine Learning Daqian Shao Ashkan Soleymani Francesco Quinzan Marta Z. Kwiatkowska 77 1 0 14 May 2024
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 40 9 0 14 Jul 2023
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency Wenlong Mou Martin J. Wainwright Peter L. Bartlett OffRL 58 11 0 26 Sep 2022
Robust Causal Learning for the Estimation of Average Treatment Effects Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Shumin Ma Zhiri Yuan DongDong Wang Zhixiang Huang OOD CML 36 7 0 05 Sep 2022
Semantic Autoencoder and Its Potential Usage for Adversarial Attack Yurui Ming Cuihuan Du Chin-Teng Lin AAML GAN DRL 24 0 0 31 May 2022
Orthogonal Statistical Learning with Self-Concordant Loss Lang Liu Carlos Cinelli Zaïd Harchaoui 29 2 0 30 Apr 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo Mingzhang Yin Yixin Wang Michael I. Jordan 38 19 0 22 Feb 2022
Deeply-Debiased Off-Policy Interval Estimation C. Shi Runzhe Wan Victor Chernozhukov R. Song OffRL 30 36 0 10 May 2021
Robust Orthogonal Machine Learning of Treatment Effects Yiyan Huang Cheuk Hang Leung Qi Wu Xing Yan OOD CML 24 0 0 22 Mar 2021
The Causal Learning of Retail Delinquency Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Nanbo Peng DongDong Wang Zhixiang Huang CML 27 8 0 17 Dec 2020
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models Jiafeng Chen Daniel L. Chen Greg Lewis CML 32 16 0 12 Nov 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 61 21 0 27 Dec 2019